# UFC Stats MMA Historical Fight Statistics Scraper (`jungle_synthesizer/ufcstats-mma-historical-fight-stats-scraper`) Actor Scrapes complete historical fight statistics from ufcstats.com. Retrieves per-fighter striking, takedown, and submission data for every recorded UFC bout. Ideal for MMA analytics, model training, and historical performance research. - **URL**: https://apify.com/jungle\_synthesizer/ufcstats-mma-historical-fight-stats-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## UFC Stats MMA Historical Fight Statistics Scraper Scrapes complete historical fight statistics from [ufcstats.com](http://ufcstats.com) — the official UFC stats source. Retrieves per-fighter striking, takedown, and submission data for every recorded UFC bout. ### What it does This actor crawls ufcstats.com across three levels: 1. **Events list** — Fetches all completed UFC events (775+ events since UFC 1 in 1993) 2. **Event detail** — Extracts event metadata (name, date, location) and enqueues all fight links 3. **Fight detail** — Extracts complete bout statistics for each fight For each fight, the actor outputs a flat record with: - Fight outcome: fighters, winner, method, round, time, weight class - Total statistics: knockdowns, significant strikes (landed/attempted + %), total strikes, takedowns (landed/attempted + %), submission attempts, control time - Significant strike breakdown by target: head, body, leg - Significant strike breakdown by position: distance, clinch, ground ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of fight records to return | | `startFromEvent` | integer | 0 | Skip this many events from most recent (0 = start from most recent) | #### Example input ```json { "maxItems": 100, "startFromEvent": 0 } ```` To scrape the full historical dataset (7,000+ fights), set `maxItems` to a high value and allow the run to complete — expect several hours at the default rate limit. ### Output Each record in the dataset represents one UFC bout: ```json { "fight_url": "http://ufcstats.com/fight-details/7e7d7a488ea21f63", "event_name": "UFC 4: Revenge of the Warriors", "event_date": "December 16, 1994", "event_location": "Tulsa, Oklahoma, USA", "fighter_a": "Steve Jennum", "fighter_b": "Melton Bowen", "winner": "Steve Jennum", "result_a": "W", "result_b": "L", "method": "Submission", "round": 1, "time": "4:47", "weight_class": "", "kd_a": "0", "kd_b": "0", "sig_str_a": "13 of 40", "sig_str_b": "1 of 4", "sig_str_pct_a": "32%", "sig_str_pct_b": "25%", "total_str_a": "29 of 70", "total_str_b": "48 of 59", "td_a": "2 of 3", "td_b": "0 of 0", "td_pct_a": "66%", "td_pct_b": "---", "sub_att_a": 1, "sub_att_b": 0, "ctrl_time_a": "--", "ctrl_time_b": "--", "head_strikes_a": "13 of 36", "head_strikes_b": "1 of 4", "body_strikes_a": "0 of 2", "body_strikes_b": "0 of 0", "leg_strikes_a": "0 of 2", "leg_strikes_b": "0 of 0", "distance_strikes_a": "0 of 6", "distance_strikes_b": "0 of 3", "clinch_strikes_a": "0 of 0", "clinch_strikes_b": "1 of 1", "ground_strikes_a": "13 of 34", "ground_strikes_b": "0 of 0" } ``` #### Field notes - Strike fields use the format `"X of Y"` (landed of attempted) - Percentage fields are strings like `"32%"` or `"---"` when not applicable - `ctrl_time_a` / `ctrl_time_b` are `"--"` for early UFC events that didn't track control time - `weight_class` may be empty for historical fights before weight classes were formalized - `winner` is set to `"Draw"` or `"NC"` (no contest) when applicable ### Use cases - **MMA analytics** — Build fighter performance models, win probability calculators, or style matchup analysis - **Machine learning** — Train classifiers for fight outcome prediction using the full historical dataset - **Research** — Track evolution of fighting styles, dominant techniques across weight classes, or historical era comparisons - **Fantasy sports** — Build scoring models based on verified official statistics ### Notes - The actor crawls in BFS order: all events are enqueued before fights. For a focused recent-events run, use `startFromEvent` to skip older events. - ufcstats.com operates on HTTP (not HTTPS). No proxy is required. - The default `maxItems: 10` with `startFromEvent: 770` (last ~5 events) completes in under 30 seconds. A full historical run (all 7,000+ fights) takes several hours. - Rate is limited to ~5 concurrent requests to respect the source site. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of fight records to scrape. Leave blank to scrape all available fights. ## `startFromEvent` (type: `integer`): Skip this many events from most recent before starting (0 = start from most recent). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startFromEvent": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ufcstats-mma-historical-fight-stats-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startFromEvent": 0, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ufcstats-mma-historical-fight-stats-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "startFromEvent": 0 }' | apify call jungle_synthesizer/ufcstats-mma-historical-fight-stats-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ufcstats-mma-historical-fight-stats-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UFC Stats MMA Historical Fight Statistics Scraper", "description": "Scrapes complete historical fight statistics from ufcstats.com. Retrieves per-fighter striking, takedown, and submission data for every recorded UFC bout. Ideal for MMA analytics, model training, and historical performance research.", "version": "0.1", "x-build-id": "e5JwUjZtSUGMM6fCi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ufcstats-mma-historical-fight-stats-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ufcstats-mma-historical-fight-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~ufcstats-mma-historical-fight-stats-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ufcstats-mma-historical-fight-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~ufcstats-mma-historical-fight-stats-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ufcstats-mma-historical-fight-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of fight records to scrape. Leave blank to scrape all available fights." }, "startFromEvent": { "title": "Start From Event", "type": "integer", "description": "Skip this many events from most recent before starting (0 = start from most recent)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```